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QLoRA demo: 50 outputs used to fine-tune a 3B model

A local demonstration uses 50 GPT-5.2 outputs to fine-tune a Llama 3B model with QLoRA. The author reports capability transfer, but this example alone does not establish general results.

The described demonstration uses 50 GPT-5.2 outputs as data for a distillation process, then applies QLoRA to fine-tune a Llama 3B model. The author says the tuning transfers significant capabilities.

To assess a similar experiment, first define the task and what will count as success. Set aside evaluation examples that are not used for tuning, and compare the model before and after using the same criteria.

Treat the result as a demonstration, not a performance guarantee: the account does not specify metrics, evaluated tasks, or reproduction conditions. Also check that you are authorized to use the teacher model's outputs and that the data suit the intended purpose.

If you use AI to study or apply this material, do not submit personal data or internal information without authorization. With Rota Nacional, your organization’s policy can detect personal data before execution and replace it with markers, remove it, or block the request.

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